Machine Learning Study: High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries

Forum topic · 小凯 · 2026-03-25

Summary

Researchers characterize sodium storage in aminobenzene-functionalized Janus graphene (Na_xAB) as a promising sodium-ion battery anode, using the SpookyNet machine-learning force field combined with all-electron density-functional theory at room temperature. Simulations across different states of charge reveal a three-stage storage mechanism: site-specific adsorption at aminobenzene groups, formation of Na_n@AB_m structures, and finally interlayer gallery filling—a behavior that contrasts with the multi-stage pore-, interlayer-, and defect-controlled sodium storage in hard carbon. The resulting open-circuit voltage profile shows an extended low-voltage plateau at 0.15 V vs. Na/Na+, with an estimated specific capacity of about 400 mAh g-1, negligible volume change, and a sodium diffusion coefficient of roughly 10^-6 cm^2 s-1—two to three orders of magnitude higher than hard carbon. The work establishes Janus aminobenzene-graphene as a structurally well-defined high-capacity anode candidate and demonstrates the power of MLFF simulations for electrode material characterization. Paper: arXiv 2603.22254.

Paper Overview

Field: Machine Learning Authors: Claudia Islas-Vargas, L. Ricardo Montoya, Carlos A. Vital-José, Oliver T. Unke, Klaus-Robert Müller, Huziel E. Sauceda Published: 2026-03-23 arXiv: 2603.22254

Abstract (Translated)

Sodium-ion batteries require anodes that combine high capacity, low operating voltage, fast Na-ion transport, and mechanical stability, which conventional anodes struggle to deliver. This study uses the SpookyNet machine-learning force field (MLFF) together with all-electron density-functional theory calculations to characterize Na storage in aminobenzene-functionalized Janus graphene (Na_xAB) at room temperature. Simulations across states of charge reveal a three-stage storage mechanism: site-specific adsorption at aminobenzene groups and Na_n@AB_m structure formation, followed by interlayer gallery filling—in contrast to the multi-stage pore-, graphite-interlayer-, and defect-controlled behavior in hard carbon. This yields an OCV profile with an extended low-voltage plateau of 0.15 V vs. Na/Na+, an estimated gravimetric capacity of ~400 mAh g-1, negligible volume change, and a Na diffusion coefficient of ~10^-6 cm^2 s-1, two to three orders of magnitude higher than hard carbon. The results establish Janus aminobenzene-graphene as a promising structurally well-defined high-capacity anode for sodium-ion batteries, and demonstrate the power of MLFF-based simulations for characterizing electrode materials.

Original Abstract

---

Full paper: arXiv:2603.22254

*Auto-collected on 2026-03-25*